ModelState Class

Model status.

Inheritance

azure.ai.anomalydetector._model_base.Model

ModelState

Constructor

ModelState(*args: Any, **kwargs: Any)

Variables

Name	Description
epoch_ids	list[int] This indicates the number of passes of the entire training dataset the algorithm has completed.
train_losses	list[float] List of metrics used to assess how the model fits the training data for each epoch.
validation_losses	list[float] List of metrics used to assess how the model fits the validation set for each epoch.
latencies_in_seconds	list[float] Latency for each epoch.

Methods

clear
copy
get
items
keys
pop
popitem
setdefault
update
values

clear

clear() -> None

copy

copy()

get

get(key: str, default: Any = None) -> Any

Parameters

Name	Description
key Required
default	default value: None

items

items() -> ItemsView

keys

keys() -> KeysView

pop

pop(key: ~typing.Any, default: ~typing.Any = <object object>) -> Any

Parameters

Name	Description
key Required
default

popitem

popitem() -> Tuple[str, Any]

setdefault

setdefault(key: ~typing.Any, default: ~typing.Any = <object object>) -> Any

Parameters

Name	Description
key Required
default

update

update(*args: Any, **kwargs: Any) -> None

values

values() -> ValuesView

Attributes

epoch_ids

This indicates the number of passes of the entire training dataset the algorithm has completed.

epoch_ids: List[int] | None

latencies_in_seconds

Latency for each epoch.

latencies_in_seconds: List[float] | None

train_losses

List of metrics used to assess how the model fits the training data for each epoch.

train_losses: List[float] | None

validation_losses

List of metrics used to assess how the model fits the validation set for each epoch.

validation_losses: List[float] | None